Investments in Compliance and Legal Automation and the AI FactorVladimir Vereskoun
This document discusses investments in legal automation projects and startups. It notes that while fintech saw $31 billion invested in 2017, legaltech only saw $200 million. However, legaltech startups can market themselves as broader knowledge industry disruptors focusing on areas like compliance, finance, or AI. For venture capital funding, startups need a vision of major legal market changes, not just operating within the existing paradigm. The future of the legal industry may involve most services delivered via algorithms and smartphones, with analytics platforms and networks replacing many existing players. Artificial intelligence is a major hype source that 70-80% of legaltech startups could leverage.
I gave this 10-minute presentation at the IIS offices, in the lead/up to the launch of their book on FinTech in Sweden. The slides outline the contents of a chapter that I contributed to the book.
Digital Traces, Ethics and Insight: Data-Driven Services in FinTechClaire Ingram Bogusz
This presentation was given on 19 March 2018 for an audience at ESBRI in Stockholm. It highlights how, although data have been integral to the creation of new services, products and markets, responsible data use and analysis is vital.
Motor City West Presentation - Kimberlin Cranford, Acxiom CorporationthinkLA
This document summarizes a presentation about privacy and compliance challenges in big data. It discusses how the legal and regulatory landscape around big data is constantly changing, with increasing concerns about commercial surveillance, data minimization, sensitive data categories, and automated decision making. It emphasizes that companies must go beyond legal requirements by evolving self-regulatory policies on issues like behavioral advertising, mobile data use, and cross-border data flows. Building and maintaining trust with all stakeholders through strong privacy leadership and compliance is key to future success.
ALA’s Human Resources Conference for Legal Professionals will focus on the challenges facing HR professionals in private law firms, corporate and government legal departments, and nonprofit and legal aid agencies.
ALA’s 2015 Intellectual Property Conference for Legal Professionals is the only IP-focused forum for administrators working in an IP setting. Held over two days, the forum will address changes and solutions to the shifting IP landscape. Educational sessions will be led by seasoned experts, attendees will engage with industry leaders who are at the forefront of IP law, share ideas and explore trends. The Intellectual Property Conference for Legal Professionals will feature unique networking opportunities with peers and business partners in this niche field.
Investments in Compliance and Legal Automation and the AI FactorVladimir Vereskoun
This document discusses investments in legal automation projects and startups. It notes that while fintech saw $31 billion invested in 2017, legaltech only saw $200 million. However, legaltech startups can market themselves as broader knowledge industry disruptors focusing on areas like compliance, finance, or AI. For venture capital funding, startups need a vision of major legal market changes, not just operating within the existing paradigm. The future of the legal industry may involve most services delivered via algorithms and smartphones, with analytics platforms and networks replacing many existing players. Artificial intelligence is a major hype source that 70-80% of legaltech startups could leverage.
I gave this 10-minute presentation at the IIS offices, in the lead/up to the launch of their book on FinTech in Sweden. The slides outline the contents of a chapter that I contributed to the book.
Digital Traces, Ethics and Insight: Data-Driven Services in FinTechClaire Ingram Bogusz
This presentation was given on 19 March 2018 for an audience at ESBRI in Stockholm. It highlights how, although data have been integral to the creation of new services, products and markets, responsible data use and analysis is vital.
Motor City West Presentation - Kimberlin Cranford, Acxiom CorporationthinkLA
This document summarizes a presentation about privacy and compliance challenges in big data. It discusses how the legal and regulatory landscape around big data is constantly changing, with increasing concerns about commercial surveillance, data minimization, sensitive data categories, and automated decision making. It emphasizes that companies must go beyond legal requirements by evolving self-regulatory policies on issues like behavioral advertising, mobile data use, and cross-border data flows. Building and maintaining trust with all stakeholders through strong privacy leadership and compliance is key to future success.
ALA’s Human Resources Conference for Legal Professionals will focus on the challenges facing HR professionals in private law firms, corporate and government legal departments, and nonprofit and legal aid agencies.
ALA’s 2015 Intellectual Property Conference for Legal Professionals is the only IP-focused forum for administrators working in an IP setting. Held over two days, the forum will address changes and solutions to the shifting IP landscape. Educational sessions will be led by seasoned experts, attendees will engage with industry leaders who are at the forefront of IP law, share ideas and explore trends. The Intellectual Property Conference for Legal Professionals will feature unique networking opportunities with peers and business partners in this niche field.
This document discusses 5 daunting problems in e-discovery: (1) rules and technology are always changing, (2) costs are variable, (3) technology-assisted review (TAR) is underutilized, (4) case analytics are primitive, and (5) e-discovery is transactional. It notes that while e-discovery has advanced significantly since the late 1990s, the industry still faces challenges due to a lack of standardization, complex technologies and methods, and a desire for best practices. The document argues that e-discovery must evolve from an ad-hoc, legal-focused process to a strategic, business-focused effort integrated with information management.
Risk & Reward and the Greed is Good Grid John P Dawson
Are corporate cheats using our Greed is Good Grid to decide how to blindside risk management systems? What's happening to ethical leadership and positive Risk Culture?
introduction and overview of options for social enterprises in the UK as to how they can incorporate themselves within the various legal structures and options that exist;
delivered as part of a series of free webinars hosted by Unltd during the summer of 2015.
The document discusses the market for personal legal services in the U.S. It notes that 50% of middle-income households have legal issues each year but only 20% seek help from lawyers, largely due to cost. Previous internet-based legal services companies failed because they did not innovate on the traditional law firm model. The U.S. consumer wants more affordable, convenient options. However, over-regulation protects existing law firms and prevents disruption. Removing these barriers could lead to new types of legal service providers that better meet consumer needs and capture the large unmet demand.
e-SIDES presentation at Leiden University 21/09/2017e-SIDES.eu
On September 21st the eLaw team member of e-SIDES, Magdalena Jozwiak, made a presentation of the e-SIDES project at a lunch event at the Leiden University’s Law Faculty. The event, organized within the Interaction Between Legal Systems research theme, attracted an interdisciplinary audience and was followed by a discussion on e-SIDES, its goals and approaches.
BA and Beyond 18 Evening Event - Adrian Reed - Leading from the MiddleBA and Beyond
There are many techniques that we can draw on to analyze, specify and design new innovative business solutions. Yet too often change fails. It is oh-so-easy to deliver everything we were asked to deliver, only to find out that the situation was far more complex than we thought. In many cases the people aspects of change are the hardest, and we draw intuitively on our ‘softer’ interpersonal skills. We “lead from the middle” and influence without authority. In some cases it may be our interpersonal skills that help enable us to turn a failing project into a resounding success.
In this presentation, we explore some practical techniques for working with stakeholders in tricky, political, and conflict-laden situations.
You will walk away with tips and techniques that you can use immediately on your next tricky project!
This document discusses the social, legal, and ethical impacts of information technology, particularly driverless cars and mobile payment systems. It addresses how these technologies could affect various stakeholders like passengers, pedestrians, businesses, and consumers. It also raises questions about privacy, safety, responsibility, and whether the economic and societal changes caused by new technologies will be positive or negative.
This presentation by Michal Gal (Professor of Law at University of Haifa Law School, Israel) was made during the discussion “Algorithms and collusion” held at the 127th meeting of the OECD Competition Committee on 23 June 2017. More papers and presentations on the topic can be found out at oe.cd/1-0.
In an essay about his science fiction, Isaac Asimov reflected
that “it became very common…to picture robots
as dangerous devices that invariably destroyed
their creators.” He rejected this view and formulated
the “laws of robotics,” aimed at ensuring the
safety and benevolence of robotic systems. Asimov’s
stories about the relationship between people and
robots were only a few years old when the phrase “artificial
intelligence” (AI) was used for the first time in a
1955 proposal for a study on using computers to “…solve
kinds of problems now reserved for humans.” Over the
half-century since that study,
AI has matured into subdisciplines
that have yielded a
constellation of methods that
enable perception, learning,
reasoning, and nature
The Artificial Intelligence World: Responding to Legal and Ethical IssuesRichard Austin
The document provides an overview of emerging issues related to artificial intelligence (AI) technologies. It discusses examples of AI systems like facial recognition and self-driving vehicles, and some of the legal and ethical challenges they present. These include questions around accountability, transparency, reliability, data privacy, and potential for bias or discrimination. The document also reviews approaches for addressing AI issues, such as company policies, ethics frameworks, standards, and regulations. The goal is to help realize benefits of AI while ensuring systems are developed and used in a safe, responsible and trustworthy manner.
The documents discuss the balance between AI and human workers. By 2021, AI assistants are forecast to handle 85% of customer service queries at just 10% of the cost of live agents. However, humans still provide skills like empathy, ethics and complex decision making that AI cannot replace. When used as augmentation rather than replacement, AI can help humans perform tasks faster and improve outcomes. An experiment found that including AI bots in a coordination game improved overall human performance, particularly during difficult tasks. For the future, organizations must view digital transformation as both a technology and people journey to create new jobs and reskill employees as roles evolve with new technologies.
Legal and moral debates around Artificial Intelligence (AI)Tarun Khurana
This document discusses legal and moral debates around artificial intelligence. On legal issues, it examines liability, intellectual property rights, data protection, and jurisdiction questions raised by AI. For liability, it notes that neither international nor Indian law recognizes AI as a subject, so the entity that programmed the AI would be responsible. On IPR, it raises whether an AI could be a joint or sole owner of copyrights or patents. Regarding data protection, it notes that AIs require large amounts of data to improve, but protecting this data from misuse is an open question. On jurisdiction, it discusses challenges in determining the proper legal forum when an AI's actions span multiple countries. For moral debates, it examines problems of reliability, biased decision
The document announces the 3rd International Conference on Artificial Intelligence and International Law being organized by the Campus Law Centre at University of Delhi from June 24-25, 2022. It discusses the objectives of exploring how AI is developing and interacting with international law. Some key themes that will be covered are the international regulation of AI in finance and governance/defense sectors, privacy regulation of AI, and the ecological and intellectual property aspects of AI. The conference aims to further the discussion on challenges around ensuring accountability and fairness of AI systems.
Talk on "Algorithmic Accountability Reporting" by Nicholas Diakopoulos, a computer scientist, Tow Fellow at the Columbia University Journalism School and incoming member of the faculty at the Philip Merrill College of Journalism.
1) Artificial intelligence will have two major impacts on law - how legislation is shaped and how legal professions operate.
2) Legal analytics applies big data analytics methods to analyze large amounts of legal data to assist with tasks like legal research, predicting litigation outcomes, and creating legal documents.
3) The legal analytics market is growing rapidly and is led by large companies but also presents opportunities for startups, though most services currently operate in the US.
Presentation of Nozha Boujemaa (Dr Inria) on Trusworthy Artificial Intelligence including Responsible and Robust Artificial Intelligence - MIT Tech Review Innovation Leaders Summit "Breakthrough to Impact", Paris November 30th 2018
"Towards Value-Centric Big Data" e-SIDES Workshop - "The dangers of tech-dete...e-SIDES.eu
The following presentation was given by Barbara Giovanelli, Policy Officer, Digital Ethics at EPDS European Data Protection Supervisor, during the e-SIDES workshop "Towards Value-Centric Big Data" held on April 2, 2019 in Brussels.
The Future of Moral Persuasion in Games, AR, AI Bots, and Self Trackers by Sh...Sherry Jones
The document discusses the future of moral persuasion in technologies like games, augmented reality, artificial intelligence bots, and self-trackers. It predicts that future technologies will include human-like AI bots that have moral conversations with users to reflect on values and social problems. AI may also engage users in moral reasoning before decisions. Companies may attempt to control behaviors, and technologies will need to be transparent about their ethical codes, values, and data practices.
This document discusses 5 daunting problems in e-discovery: (1) rules and technology are always changing, (2) costs are variable, (3) technology-assisted review (TAR) is underutilized, (4) case analytics are primitive, and (5) e-discovery is transactional. It notes that while e-discovery has advanced significantly since the late 1990s, the industry still faces challenges due to a lack of standardization, complex technologies and methods, and a desire for best practices. The document argues that e-discovery must evolve from an ad-hoc, legal-focused process to a strategic, business-focused effort integrated with information management.
Risk & Reward and the Greed is Good Grid John P Dawson
Are corporate cheats using our Greed is Good Grid to decide how to blindside risk management systems? What's happening to ethical leadership and positive Risk Culture?
introduction and overview of options for social enterprises in the UK as to how they can incorporate themselves within the various legal structures and options that exist;
delivered as part of a series of free webinars hosted by Unltd during the summer of 2015.
The document discusses the market for personal legal services in the U.S. It notes that 50% of middle-income households have legal issues each year but only 20% seek help from lawyers, largely due to cost. Previous internet-based legal services companies failed because they did not innovate on the traditional law firm model. The U.S. consumer wants more affordable, convenient options. However, over-regulation protects existing law firms and prevents disruption. Removing these barriers could lead to new types of legal service providers that better meet consumer needs and capture the large unmet demand.
e-SIDES presentation at Leiden University 21/09/2017e-SIDES.eu
On September 21st the eLaw team member of e-SIDES, Magdalena Jozwiak, made a presentation of the e-SIDES project at a lunch event at the Leiden University’s Law Faculty. The event, organized within the Interaction Between Legal Systems research theme, attracted an interdisciplinary audience and was followed by a discussion on e-SIDES, its goals and approaches.
BA and Beyond 18 Evening Event - Adrian Reed - Leading from the MiddleBA and Beyond
There are many techniques that we can draw on to analyze, specify and design new innovative business solutions. Yet too often change fails. It is oh-so-easy to deliver everything we were asked to deliver, only to find out that the situation was far more complex than we thought. In many cases the people aspects of change are the hardest, and we draw intuitively on our ‘softer’ interpersonal skills. We “lead from the middle” and influence without authority. In some cases it may be our interpersonal skills that help enable us to turn a failing project into a resounding success.
In this presentation, we explore some practical techniques for working with stakeholders in tricky, political, and conflict-laden situations.
You will walk away with tips and techniques that you can use immediately on your next tricky project!
This document discusses the social, legal, and ethical impacts of information technology, particularly driverless cars and mobile payment systems. It addresses how these technologies could affect various stakeholders like passengers, pedestrians, businesses, and consumers. It also raises questions about privacy, safety, responsibility, and whether the economic and societal changes caused by new technologies will be positive or negative.
This presentation by Michal Gal (Professor of Law at University of Haifa Law School, Israel) was made during the discussion “Algorithms and collusion” held at the 127th meeting of the OECD Competition Committee on 23 June 2017. More papers and presentations on the topic can be found out at oe.cd/1-0.
In an essay about his science fiction, Isaac Asimov reflected
that “it became very common…to picture robots
as dangerous devices that invariably destroyed
their creators.” He rejected this view and formulated
the “laws of robotics,” aimed at ensuring the
safety and benevolence of robotic systems. Asimov’s
stories about the relationship between people and
robots were only a few years old when the phrase “artificial
intelligence” (AI) was used for the first time in a
1955 proposal for a study on using computers to “…solve
kinds of problems now reserved for humans.” Over the
half-century since that study,
AI has matured into subdisciplines
that have yielded a
constellation of methods that
enable perception, learning,
reasoning, and nature
The Artificial Intelligence World: Responding to Legal and Ethical IssuesRichard Austin
The document provides an overview of emerging issues related to artificial intelligence (AI) technologies. It discusses examples of AI systems like facial recognition and self-driving vehicles, and some of the legal and ethical challenges they present. These include questions around accountability, transparency, reliability, data privacy, and potential for bias or discrimination. The document also reviews approaches for addressing AI issues, such as company policies, ethics frameworks, standards, and regulations. The goal is to help realize benefits of AI while ensuring systems are developed and used in a safe, responsible and trustworthy manner.
The documents discuss the balance between AI and human workers. By 2021, AI assistants are forecast to handle 85% of customer service queries at just 10% of the cost of live agents. However, humans still provide skills like empathy, ethics and complex decision making that AI cannot replace. When used as augmentation rather than replacement, AI can help humans perform tasks faster and improve outcomes. An experiment found that including AI bots in a coordination game improved overall human performance, particularly during difficult tasks. For the future, organizations must view digital transformation as both a technology and people journey to create new jobs and reskill employees as roles evolve with new technologies.
Legal and moral debates around Artificial Intelligence (AI)Tarun Khurana
This document discusses legal and moral debates around artificial intelligence. On legal issues, it examines liability, intellectual property rights, data protection, and jurisdiction questions raised by AI. For liability, it notes that neither international nor Indian law recognizes AI as a subject, so the entity that programmed the AI would be responsible. On IPR, it raises whether an AI could be a joint or sole owner of copyrights or patents. Regarding data protection, it notes that AIs require large amounts of data to improve, but protecting this data from misuse is an open question. On jurisdiction, it discusses challenges in determining the proper legal forum when an AI's actions span multiple countries. For moral debates, it examines problems of reliability, biased decision
The document announces the 3rd International Conference on Artificial Intelligence and International Law being organized by the Campus Law Centre at University of Delhi from June 24-25, 2022. It discusses the objectives of exploring how AI is developing and interacting with international law. Some key themes that will be covered are the international regulation of AI in finance and governance/defense sectors, privacy regulation of AI, and the ecological and intellectual property aspects of AI. The conference aims to further the discussion on challenges around ensuring accountability and fairness of AI systems.
Talk on "Algorithmic Accountability Reporting" by Nicholas Diakopoulos, a computer scientist, Tow Fellow at the Columbia University Journalism School and incoming member of the faculty at the Philip Merrill College of Journalism.
1) Artificial intelligence will have two major impacts on law - how legislation is shaped and how legal professions operate.
2) Legal analytics applies big data analytics methods to analyze large amounts of legal data to assist with tasks like legal research, predicting litigation outcomes, and creating legal documents.
3) The legal analytics market is growing rapidly and is led by large companies but also presents opportunities for startups, though most services currently operate in the US.
Presentation of Nozha Boujemaa (Dr Inria) on Trusworthy Artificial Intelligence including Responsible and Robust Artificial Intelligence - MIT Tech Review Innovation Leaders Summit "Breakthrough to Impact", Paris November 30th 2018
"Towards Value-Centric Big Data" e-SIDES Workshop - "The dangers of tech-dete...e-SIDES.eu
The following presentation was given by Barbara Giovanelli, Policy Officer, Digital Ethics at EPDS European Data Protection Supervisor, during the e-SIDES workshop "Towards Value-Centric Big Data" held on April 2, 2019 in Brussels.
The Future of Moral Persuasion in Games, AR, AI Bots, and Self Trackers by Sh...Sherry Jones
The document discusses the future of moral persuasion in technologies like games, augmented reality, artificial intelligence bots, and self-trackers. It predicts that future technologies will include human-like AI bots that have moral conversations with users to reflect on values and social problems. AI may also engage users in moral reasoning before decisions. Companies may attempt to control behaviors, and technologies will need to be transparent about their ethical codes, values, and data practices.
This document discusses the potential for artificial intelligence and machine learning in the criminal justice system, as well as some of the challenges and risks. It notes that while technologies like predictive policing and tools to assist prosecutors are now technically feasible, there are concerns about biases in the data and algorithms that could negatively impact certain groups. It emphasizes that for AI to be implemented responsibly in criminal justice, policy controls need to be incorporated and data quality must be ensured to avoid amplifying existing social inequities. The future of computational criminal justice requires a focus on "computational policy" alongside the technologies.
This presentation for Tom Malone's Strategic Organizational Design class at MIT Sloan looks at some examples of the types of collective intelligence being implemented on the web.
https://www.youtube.com/watch?v=wbXEXGT3I9I&list=PLqJzTtkUiq54DDEEZvzisPlSGp_BadhNJ&index=8
Link of video:
https://www.youtube.com/watch?v=wbXEXGT3I9I
This is a review of the keynote presented by Eric Horvitz, Managing Director, Microsoft, Redmond.
This keynote was presented at Computing Community Consortium in Washington DC on June-07-2016.
Eric has discussed about 3 things in his keynote: Healthcare, Agriculture and Transport.
Mainly he has focussed on Health care.
The goal of AI
Broad Spectrum of Opportunities for AI
Healthcare
Sciences
Transportation
Agriculture
Sustainability
Education
Governance
Criminal justice
Privacy & security
Emergency management
A work conducted in John Hopkins University
References:
http://research.microsoft.com/en-us/um/people/horvitz/AI_supporting_people_and_society_Eric_Horvitz.pdf
https://www.youtube.com/watch?v=rek3jjbYRLo
https://en.wikipedia.org/wiki/Artificial_intelligence
https://en.wikipedia.org/wiki/AI_winter
http://research.microsoft.com/en-us/um/people/horvitz/
This presentation by Michal Gal, Professor of Law, University of Haifa, was made during the discussion “Algorithmic competition” held at the 140th meeting of the OECD Competition Committee on 14 June 2023. More papers and presentations on the topic can be found out at oe.cd/algc.
This presentation was uploaded with the author’s consent.
Oxford Internet Institute 19 Sept 2019: Disinformation – Platform, publisher ...Chris Marsden
The document discusses issues around disinformation and how different actors like platforms, publishers, and public authorities can address problems related to the scale and scope of disinformation. It examines responses from platform, publishers, and policy perspectives. Specifically, it looks at what is known about the scale of disinformation problems and potential actions different actors could take to counter related issues.
Exploring AI Ethics_ Challenges, Solutions, and SignificanceBluebash
Artificial Intelligence, or AI, is not just a science fiction idea anymore. It's a strong and ever-present influence in our everyday lives. It helps us make decisions, molds our experiences, and impacts our future.
El documento resume la presentación de Lucas Gallitto de GSMA sobre la inteligencia artificial y la industria móvil. Discutió la iniciativa AI4I de GSMA para promover el uso responsable de la IA, los principios éticos de la IA, casos prácticos de uso de la IA en la industria móvil como optimizar redes y reducir fraude, y el rol de las políticas públicas para fomentar la innovación de la IA y proporcionar claridad regulatoria.
Microsoft ha establecido principios de IA responsable que incluyen garantizar que sus sistemas de IA sean seguros, justos y transparentes. Estos principios guían el desarrollo de la IA de Microsoft para asegurar que se alineen con los valores humanos y se centren en mejorar vidas. Microsoft espera que estos principios sirvan como un estándar para la industria de la IA.
This document discusses key applications for building responsible artificial intelligence in industry. It begins by noting that consumers and enterprises have different AI needs. It then outlines Google's approach to responsible AI, including their AI principles, product and use case reviews, and governance practices. The document discusses several potential use cases for generative AI in communication service providers, including contact center automation, network capacity planning, and creative generation. It provides examples of how generative AI could increase employee and operational efficiency through customer service automation, employee knowledge search, and contract analysis. The document emphasizes the importance of an organization's data governance, security, and responsible AI practices when pursuing a generative AI transformation.
Este documento resume la regulación de la inteligencia artificial en la Unión Europea. Propone una regulación centrada en los derechos fundamentales y los principios constitucionales. También destaca la importancia de gestionar los riesgos a lo largo de todo el ciclo de vida de los productos de IA, la alfabetización en IA, y el cumplimiento normativo como filosofía de desarrollo.
El documento resume las principales recomendaciones de políticas públicas y regulación sobre tecnologías emergentes como la inteligencia artificial. En particular, recomienda la promoción de la experimentación y uso adecuado de estas tecnologías, la gestión ética y responsable de los datos, el establecimiento de normas sobre propiedad intelectual de modelos de ML/DL y trabajos derivados, y la colaboración entre los sectores público, privado y la sociedad civil.
Emerging technologies should prioritize citizens according to Marcello Ienca. Emerging technologies are defined by attributes like radical novelty, fast growth, coherence over time, prominent impact, and uncertainty. While some argue technology is value-neutral, Ienca argues it is value-sensitive due to being goal-oriented in its development. This can lead to unintended impacts, so the goals of a technology and its potential unintended consequences should be considered. Ienca provides examples like using AI to predict sexual orientation which can threaten privacy and spread bias. Overall emerging technologies need oversight through ethical guidelines to ensure they are developed and applied safely and for the benefit of citizens.
This document summarizes global trends in AI regulation. It discusses how many nations are developing national AI strategies and legislation to regulate high-risk AI applications. It also outlines some multi-national initiatives developing regulatory guidelines for AI through organizations like the OECD, G7, and UN. Common principles reflected in proposed regulation include transparency, fairness, safety, accountability, and privacy. The EU is proposing comprehensive AI legislation while other regions take different approaches to AI governance.
El documento habla sobre el uso de la inteligencia artificial para hacer que los estados sean más eficientes. Menciona algunos ejemplos de cómo la IA puede usarse para mejorar la formulación de políticas públicas, la prestación de servicios a los ciudadanos y la eficiencia interna del estado. También destaca iniciativas de la CAF para promover el uso responsable de la IA en el sector público de América Latina y el Caribe a través de la generación de conocimiento, asistencia técnica a gobiernos y la creación de un consejo regional de é
Gracias por compartir estos ejemplos interesantes de cómo empresas latinoamericanas están aprovechando la inteligencia artificial generativa. Creo que a medida que estas tecnologías continúen mejorando y se democratizan, veremos más casos innovadores que impulsen el desarrollo sostenible en la región.
Chile ha implementado varias iniciativas para regular la IA de forma responsable, incluyendo un repositorio de algoritmos públicos, reformas a la ley de protección de datos, e instrucciones para la transparencia algorítmica. Las lecciones aprendidas son que se requiere tiempo para establecer regulaciones basadas en la experiencia práctica, construir sobre marcos regulatorios existentes, y fortalecer las capacidades a través de la colaboración público-privada.
The document discusses several topics related to emerging digital technologies:
- Expert views on the top emerging technologies in 2023 that will transform the IT industry, such as artificial intelligence, quantum computing, 5G networks, and more.
- The importance of digital foundations like broadband connectivity, digital infrastructure, skills, and an enabling environment for countries and regions to fully benefit from new technologies.
- An assessment of where the Latin America and Caribbean region stands in terms of its digital economy foundations, noting gaps in infrastructure, platforms, skills, and the need to build trust.
El documento describe la implementación del sandbox regulatorio en Colombia para promover la innovación. Resalta que el sandbox permite experimentar nuevos modelos de negocio bajo una regulación flexible y controlada. Explica que Colombia fue pionera en este mecanismo en las telecomunicaciones y que se busca implementarlo también para contenidos audiovisuales. Finalmente, identifica algunos retos como involucrar a más entidades y regular estos sandboxes para facilitar el emprendimiento.
El documento describe las medidas regulatorias que promueven el desarrollo del e-commerce en Colombia. Explica que Colombia está cada vez más conectada, con altos niveles de penetración de internet móvil y fijo, y un fuerte crecimiento del e-commerce. También analiza barreras como la brecha digital y la baja bancarización. Luego, propone regulaciones que promuevan la conectividad en zonas apartadas, compartición de infraestructura, y definición de banda ancha. Asimismo, regula la calidad y la inclusión en
El documento resume el estado de despliegue de la red 5G en Colombia según un informe de la GSA. Detalla que 5G se ha desplegado comercialmente en algunas redes, y que otros operadores se encuentran en fases de planeación, pruebas o despliegues piloto. Además, presenta cifras sobre acuerdos de compartición de infraestructura vigentes en Colombia y sobre municipios sin barreras para el despliegue. Finalmente, identifica algunos retos regulatorios clave para el desarrollo de 5G en el país como el uso de mobiliario ur
Este documento describe la experiencia de la Comisión de Regulación de Comunicaciones de Colombia (CRC) en la aplicación de elementos de modernización regulatoria, simplificación y sandbox regulatorios. La CRC ha implementado regulación inteligente, mejora normativa e innovadora, incluyendo un sandbox regulatorio pionero que recibió 23 propuestas y admitió 3 proyectos para experimentación. El sandbox permite flexibilidad para empresas innovadoras y pruebas de nuevos modelos de negocio de forma controlada. La CRC también planea un primer sandbox regulatorio de contenidos audiovisuales.
More from Comisión de Regulación de Comunicaciones (20)
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
El consumidor algorítmico: autonomía, privacidad y control
1. Algorithmic Consumers
"I never think of the future. It comes
soon enough..."
Albert Einstein
Michal S. Gal
University of Haifa Faculty of Law
President, Academic Society of Competition Law Scholars
12. Thank you!
Michal S. Gal and Niva Elkin-Koren, “Algorithmic
Consumers” 30 Harvard Journal of Law and Technology
(2017) (also on ssrn.com)
Michal S. Gal, “Algorithmic Challenges to Autonomous
Choice” Michigan Telecommunications and Technology L.
J (2018) (also on ssrn.com)